2918 search results - page 248 / 584 » Learning qualitative models from numerical data |
157
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
179
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BMCBI
2006
15 years 6 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
198
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IJAR
2010
15 years 5 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
176
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IPM
2008
15 years 6 months ago
2008
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
186
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ICIP
2007
IEEE
16 years 8 months ago
2007
IEEE
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...